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meta-learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

miscellaneous

object detection utils

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-videos

A collection of video resources for machine learning

mobilefacenet

implement mobilefacenet(including arcface layer)

mobilefacenet-keras

A Keras implementation of MobileFaceNet from [MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices](https://arxiv.org/abs/1804.07573).

mobilefacenet-v2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

modern-embedded-programming-course

Companion repository to the "Modern Embedded Systems Programming" video course.

neural-networks-and-deep-learning-for-python3

Code samples are modified for Michael Nielsen's book Neural Networks and Deep Learning by python 3.x

nginx-php-mysql-docker-compose

nginx-php-mysql-docker-compose

one-shot-learning-with-siamese-networks

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

partialconv

A New Padding Scheme: Partial Convolution based Padding

play_with_tflite

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

posix_ipc

Mirror of Philip Semanchuk's posix_ipc Python package (starting with v0.9.4)

projects-notes

cmake-examples

protobuf_encode_decode_example

protobuf_encode_decode_example

psmnet

Pyramid Stereo Matching Network (CVPR2018)

python-linear-regression-demos

linear regression demos in python numpy and matplotlib

python-logistic-regression-demos

python logistic regression demos

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-fast-neural-style-mobilenetv2

Fast neural style with MobileNetV2 bottleneck blocks

random-erasing

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

retinaface-tf2

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

rf24

Optimized fork of nRF24L01 for Arduino & Raspberry Pi/Linux Devices

robotic-grasping

Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

roi-pooling

self-driving-cars

Coursera Open Courses from University of Toronto

semi-global-matching

An implementation of Semi-Global Matching (SGM) on CPU with some optimizations